Arne Schumann

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 99 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Arne Schumann trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Liang Zheng
  2. Kaiming He
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Ross B. Girshick
  6. Andrew Zisserman
  7. Yoshua Bengio
  8. Yann LeCun
  9. Karen Simonyan
  10. Diederik P. Kingma

Who trusts Arne Schumann overall

  1. Liang Zheng

Papers from Arne Schumann's perspective

Ordered by how strongly the researchers Arne Schumann trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. ImageNet: A large-scale hierarchical image database
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Going deeper with convolutions
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers